GLM-Zero-Preview

Zhizhu's deep reasoning model is proficient in mathematical logic and code reasoning.

ChineseSelectionProductivityAI ReasoningReinforcement Learning

GLM-Zero-Preview is Zhizhu's first reasoning model trained based on advanced reinforcement learning technology, focusing on enhancing AI reasoning abilities, excelling in mathematical logic, code handling, and complex issues requiring deep reasoning. Compared to its base model, it significantly improves expert task performance without a major compromise on general task capabilities. Its performance is on par with OpenAI's o1-preview in evaluations such as AIME 2024, MATH500, and LiveCodeBench. Zhizhu Huazhang Technology Co., Ltd. is dedicated to enhancing model capabilities through reinforcement learning technology, and will soon launch the official version of GLM-Zero, expanding deep thinking capabilities across more technical fields.

? Enhanced AI reasoning abilities: Excels at handling mathematical logic
code
and complex problems.
? Improved expert task performance: Significantly enhances expert task capabilities without diminishing general task performance.
? Comparable performance to OpenAI o1-preview: Performs comparably across multiple evaluations.
? Free usage and API access: Users can utilize it freely on the Zhizhu Qingyan platform
and developers can access it via API.
? Reinforcement learning technology: Gradually improves model deep reasoning efficacy through increased training.
? Scaling law during reasoning phase: Results improve with an increase in token count and computational resources.
? Autonomous decision-making and problem breakdown: Capable of self-decision making and problem decomposition during the reasoning process.

The target audience includes researchers
developers
and students who require deep reasoning capabilities. Researchers can leverage GLM-Zero-Preview for complex problem reasoning and model training; developers can quickly write and debug code using its programming capabilities; students can enhance their understanding of mathematical logic and programming through the model's detailed problem-solving processes.

Example 1: Researchers use GLM-Zero-Preview to reason through complex mathematical logic problems
discovering new research pathways.
Example 2: Developers quickly create HTML code for a first-person shooter game with the help of GLM-Zero-Preview.
Example 3: Students utilize the detailed problem-solving processes provided by GLM-Zero-Preview to understand and master challenging questions in the 2025 postgraduate entrance mathematics exam.

1. Visit the Zhizhu Qingyan platform (chatglm.cn) and select the 'Zero Reasoning Model' agent for free use.
2. Upload text or images on the platform
and the model will output a complete reasoning process.
3. Developers can access the Zhizhu Open Platform (bigmodel.cn) to call the model via API.
4. Register and receive a free resource package of 20 million tokens to start practical model application and testing.

Visit

GLM-Zero-Preview Visit Over Time

Monthly Visits

453485

Bounce Rate

35.95%

Page per Visit

7.3

Visit Duration

00:05:07

GLM-Zero-Preview Visit Trend

GLM-Zero-Preview Visit Geography

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